Charchit Dhawan's Projects
An app to monitor glucose bottles in hospitals
chatbots with python
Childhood Autistic Spectrum Disorder Screening using Machine Learning : The early diagnosis of neurodevelopment disorders can improve treatment and significantly decrease the associated healthcare costs. In this project, we will use supervised learning to diagnose Autistic Spectrum Disorder (ASD) based on behavioural features and individual characteristics. More specifically, we will build and deploy a neural network using the Keras API.
This is a small rgb color game with 4 different levels to choose the right color amongst the available colours according to the rgb colour indexes
World wide analysis and India's Monthly Predictive- Analysis and Tracker, which track the live confirmed cases, active and deaths, and give the graphical representation of the Corona Virus scenario over the period.
Tracking Various Functionality with CCTV clips
Applying ten different models to classify the dataset obtained from UCI for the neucloides for the DNA per sequence and came up with the result that which classifier is having maximum accuracy and perform well throughout the model.
Electronic Health-Record using Private Blockchain
πβ¨ Help beginners to contribute to open source projects
A Simple Text Analyzer that can perform operations to analyze text
A collection of easy-to-understand guides to programming tools
It is Described as: 1) βDigital documents are easier to store and process. The task of taking a decision to identify the character can be accomplished by using Recognition is to make editable documents from the existing paper documents or image files by employing automatic classification methods to so that various operations can be implemented on the document with ease. 2)-It reduces human efforts to a large extent, making work more reliable and time-efficient. A research was taken on to identify the gaps in the existing methodologies to come up with a solution. Recognito identifies isolated integral values by making use of Convolution Neural Network and Supervised Learning algorithms. 3)-It learns from the regular training of database by inputs provided to it and, thus increasing the reliability and accuracy gradually.
Its a game of guessing the word your friemd enters and you have 10 chances to guess its characters right.
π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Inpredo is a Deep Learning tool which looks into financial charts and predicts stock movements.
Day traders perceive the patterns in the live stock charts (candlestick diagrams) to take decision of selling/buying/holding stocks
fixing the storage problem in kali linux
freeCodeCamp's learning platform with 2,000 interactive coding challenges
Learn OpenCV : C++ and Python Examples
30 days challenges leetcode
A Line Follower Robot, as the name suggests, is an automated guided vehicle, which follow a visual line embedded on the floor or ceiling. Usually, the visual line is the path in which the line follower robot goes and it will be a black line on a white surface but the other way (white line on a black surface) is also possible. Certain advanced Line Follower Robots use invisible magnetic field as their paths. Large line follower robots are usually used in industries for assisting the automated production process. They are also used in military applications, human assistance purpose, delivery services etc.